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tor-simt-gemma-2b-curated
srirag/tor-simt-gemma-2b-curated
tor-simt-gemma-2b-curated is a machine learning model from srirag. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Experiment gemma2bcurated from the Teacher-Free Read/Write Annotation for Simultaneous Machine Translation project.
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At a glance
- License
- mit
- Model type
- gemma4
- Access
- Public
- Created
- Aug 31, 2026
- Updated
- Sep 1, 2026
- SHA
- 32b6aa3e
Model card
From the Hugging Face model README
gemma_2b_curated
Experiment gemma_2b_curated from the Teacher-Free Read/Write Annotation for Simultaneous
Machine Translation project.
Recipe
- Backbone:
google/gemma-4-E2B-it - Corpus:
curated - Annotator:
same_as_backbone - Criterion:
ot(τ = 0.3) - Latencies: ['low', 'low-medium', 'medium', 'medium-high', 'high']
Files in this repo
config.yaml— the exact experiment config that produced this run.manifest.json— git sha, hostname, GPUs, timestamps.logs/— per-stage stdout+stderr frombin/run.eval/— every landed eval-JSON cell (hypothesis, reference, AL, BLEU).- SFT checkpoint (
*.safetensors+ tokenizer).
Reproduce
git clone https://github.com/dipankarsrirag/simt-tor-26.git
cd simt-tor-26
cp .simtrc.example .simtrc # edit paths for your setup
bin/run configs/00_gemma_2b_curated.yaml --ngpus N
Git commit at time of run: unknown
- Type
- gemma4
- License
- mit
- Languages
- ar, de, en, ru, vi
- Created
- Aug 31, 2026
- Updated
- Sep 1, 2026